StackHawk MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add StackHawk as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to StackHawk. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in StackHawk?"
)
print(response)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About StackHawk MCP Server
Integrate the robust dynamic application security testing (DAST) capabilities of StackHawk directly into your conversational AI. Empower your engineering team to monitor system vulnerabilities, initiate complex scans, and orchestrate proactive security protocols without relying heavily on static dashboards. Connect securely to your workspaces, instruct your AI to assess ongoing security threats, and automatically classify alerts through a natural language interface designed to accelerate risk remediation across modern CI/CD pipelines.
LlamaIndex agents combine StackHawk tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
What you can do
- Automated Scanning — Programmatically initiate comprehensive security evaluations across your environments utilizing
run_scan, and halt operations securely targeting specific execution UUIDs viastop_scan. - Risk Assessment — Effectively audit environments by listing operational scans with
list_scans, or retrieve deep vulnerability reports invokingget_alertstargeting specific scan iterations. - Application Management — Catalog active software deployments monitored by StackHawk utilizing
list_applications, and manage organizational parameters inspecting environments directly vialist_environments. - Triage & Operations — Authenticate securely establishing a valid operational bearer token with
login, and instruct the AI to accurately qualify, dismiss, or assign statuses prioritizing critical mitigation efforts usingtriage_alert.
The StackHawk MCP Server exposes 10 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect StackHawk to LlamaIndex via MCP
Follow these steps to integrate the StackHawk MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from StackHawk
Why Use LlamaIndex with the StackHawk MCP Server
LlamaIndex provides unique advantages when paired with StackHawk through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine StackHawk tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain StackHawk tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query StackHawk, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what StackHawk tools were called, what data was returned, and how it influenced the final answer
StackHawk + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the StackHawk MCP Server delivers measurable value.
Hybrid search: combine StackHawk real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query StackHawk to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying StackHawk for fresh data
Analytical workflows: chain StackHawk queries with LlamaIndex's data connectors to build multi-source analytical reports
StackHawk MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect StackHawk to LlamaIndex via MCP:
get_application_details
Get detailed configuration for a specific StackHawk application
get_organization_details
Get StackHawk organization details and subscription tier
get_scan_alerts
Download individual security alerts discovered by a DAST scan
get_scan_results
Get detailed results and metadata for a specific DAST scan
list_api_keys
Useful for auditing and hygiene. List API keys configured for a StackHawk organization
list_applications
Requires a Bearer token and organization ID. List all registered DAST applications in a StackHawk organization
list_environments
g., Development, Staging, Production) configured on the application. List configured scan environments for a StackHawk application
list_scans
Includes scan IDs and high-level alert counts. List all DAST scan executions for a StackHawk application
login
This token is required for all subsequent StackHawk tool calls. Authenticate and obtain a Bearer access token from StackHawk
triage_alert
Valid statuses: RISK_ACCEPTED, FALSE_POSITIVE, IN_PROGRESS. Triage a DAST security alert (accept risk, false positive, etc.)
Example Prompts for StackHawk in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with StackHawk immediately.
"Log in with my API token, list my projects and environments, then show the critical vulnerabilities from the latest scan."
"Run a new scan against the Production application."
Troubleshooting StackHawk MCP Server with LlamaIndex
Common issues when connecting StackHawk to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpStackHawk + LlamaIndex FAQ
Common questions about integrating StackHawk MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect StackHawk with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect StackHawk to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.